W2Hiring - Cloud AI Architect (w/ Security) - Remote

Role: Cloud AI Architect (w/ Security)

Location: Remote

**We need candidates who do not require visa sponsorship now or in the future

Overview

Hiring Manager leads Cloud Security initiatives and is responsible for portions of the organization's architecture and IAM strategy.

Assumed responsibility for AI security in the cloud approximately one year ago. The AI program has grown rapidly, and the team now requires dedicated support to keep pace with demand.

Candidate Profile:

• Architect-level professional; not a traditional Cloud Engineer.
• Strong background in AI/ML platforms with a focus on cloud-based deployments.
• Ideally has 3 4+ years of AI experience in cloud environments.
• Experience with Google Cloud Platform is strongly preferred, though AWS or Azure experience can be considered.
• Looking for someone who has invested heavily in both AI and cloud technologies and understands how AI systems are designed, scaled, and secured.
• Candidate should come from an AI-first background and have expanded into cloud architecture and security, rather than a traditional cloud security professional who later learned AI.
• Heavy emphasis on architecture, governance, and standards development rather than hands-on security operations.
• The ideal candidate is an experienced AI platform professional with strong cloud expertise who understands the security implications of modern GenAI, ML, and agentic AI workloads and can define secure patterns for enterprise-wide adoption. Focused on establishing AI security frameworks, governance, and reference architectures within a Google Cloud Platform-based AI ecosystem.

The ideal candidate should have experience with:

• AI platform architecture
• Cloud-native environments
• Containerized workloads (Kubernetes/container technologies)
• AI infrastructure and deployment patterns
• Understanding how AI systems scale and where vulnerabilities are most likely to emerge

Responsibilities:

• Define and establish AI security architecture standards, guardrails, and reference patterns.
• Design secure AI systems and ensure teams are implementing approved architectures correctly.
• Partner with governance, security, architecture, and engineering teams to drive adoption of AI security best practices.
• Develop reusable patterns and reference architectures for AI platforms and applications.
• Provide guidance around secure implementation rather than performing day-to-day operational security tasks.
• Interact with key stakeholders: AI/ML Engineering, enterprise Governance, Security teams, Cloud platform Engineering, Enterprise Architecture
• Heavy use of Google Cloud Platform, specifically Vertex AI, Gemini Models, ADK (Agent Development Kit, BigQuery
• Environment includes a variety of AI workloads, including GenAI, ML, NLP, Agentic AI
• Supporting both Production AI systems and AI pilots/POCs.
• Organization is actively expanding AI capabilities and needs additional expertise to keep pace with rapid innovation.
• Looking for someone who stays current on emerging AI technologies, threats, and security implications.
• Should be able to solve for LLM security, data leakage, prompt injection protection, IAM, and staying up to date on emerging AI risks and security trends. Bring forth and document best practices, ensure they are being followed.
• This role will be heavily involved in AI governance initiatives, model risk assessments, AI policy development, enterprise AI security standards, reference architecture creation.
• Needs enough AI expertise to credibly guide governance decisions and establish secure AI operating models across the organization